Any suggestions/references/links to procedures for automatically extract building footprints from spaceborne multi-spectral imagery? Possibily in QGIS or an open-source software.
If you look at the outcomes of the different SpaceNet challenges you will find relevant information too. For example there are nicely written blog post from the winners https://towardsdatascience.com/mapping-challenge-winning-solution-1aa1a13161b3 https://medium.com/the-downlinq/2nd-spacenet-competition-winners-code-release-c7473eea7c11 https://medium.com/the-downlinq/the-spacenet-challenge-off-nadir-buildings-introducing-the-winners-b60f2b700266
What is interesting is to see that sometimes simpler architectures like U-NET are beating the more complex ones such as Mask-RCNN!
In the end, the training data representativity matters most and ensemble of networks and post-processing are giving a boost.
You can try out the hosted model for building footprint on our platform (https://picterra.ch) or directly retrain one there too.